摘要：

目的 针对编辑部新媒体人力资源有限、期刊协同与品牌差异化难以兼顾的现实困境，探索科技期刊融媒体协同运营的可操作路径，为同一出版单位运营双刊或多刊的融媒体实践提供方法参考。方法 以《核技术》和Nuclear Science and Techniques（NST）中英文双刊为案例，遵循“量化评估→模式构建→策略实施”3步路径：首先，基于两刊2021—2025年出版的全部论文，综合运用叙词标引、通信作者匹配和机构名称匹配等方法，从双刊的关键要素、学科领域分布、作者/机构3个维度构建学术共同体重合度量化评估框架；其次，构建“同源分层”协同运营模式，从内容（独有层与共建层矩阵）、渠道（国内聚合与国际延伸）、社群（学术社交网络分层触达）3个方面形成具体实施路径，并结合运营数据初步验证其可行性。结果 两刊共同叙词占比达96.3%，识别出8个共同高频主题；93位重合通信作者贡献了NST 18.1%和《核技术》16.8%的论文，统计到前30共同机构贡献两刊总发文65.8%。双刊新媒体实施同源分层协同运营模式后，观察到两刊在内容自洽性、传播规模、受众参与及运营效率方面均呈现正向变化。结论 核心学术共同体重合度量化评估方法可为科技期刊判断“是否协同、如何协同”提供数据决策依据；“同源分层”协同运营模式实施路径对中英文双刊运营的编辑部或学科相近的期刊集群具有参照价值。

关键词: 融媒体协同运营, 中英文双刊, 学术共同体, 同源分层模式

Abstract:

Purposes To address the practical dilemma of limited human resources for new-media operations and the difficulty in balancing inter-journal coordination with brand differentiation， this study explores an actionable pathway for convergence media coordinated operation among scientific journals， providing methodological reference for editorial offices managing two or multiple journals. Methods Taking the Chinese-language journal Nuclear Techniques and the English-language journal Nuclear Science and Techniques （NST） as the cases， this study followed a three-step process：“quantitative assessment→model construction→strategy implementation”. First， based on 1889 articles published in the two journals from 2021 to 2025， a three-dimensional quantitative framework for assessing core academic community overlap was constructed from journal key elements， disciplinary fields， and author/institution. Methods included International Nuclear Information System （INIS） thesaurus indexing， exact matching of corresponding authors’ email addresses， and standardized mapping of bilingual institutional affiliations. Second， adhering to the principle of “exclusive layer for brand building， co-built layer for efficiency enhancement”， a “homologous-stratification” coordinated operation model was developed， with concrete implementation pathways designed across content， channel， and community strategies. Operational data were used for preliminary observation rather than strict causal verification. Findings The two journals shared 78 of 81 INIS thesaurus terms （96.3%）， with 8 high-frequency thematic clusters identified in common； 93 overlapping corresponding authors who published in both journals contributed 18.1% of NST papers and 16.8% of Nuclear Techniques papers， while the top 30 shared institutions accounted for 65.8% of total publications. Since the implementation of the model， positive changes have been observed in content coherence， communication scale， user engagement， and operational efficiency. Conclusions The quantitative core academic community overlap provides a data-driven basis for sci-tech journals to determine whether and how to coordinate. The homologous-stratification model has referential value for editorial offices operating bilingual journals and for journal clusters in closely related disciplines.

Key words: Convergence media cooperation, Bilingual Chinese-English journals, Academic community, Homologous-stratification model